Senior AI Platform Ops Engineer

Bangalore, Karnataka, India Full-time Technology & Engineering Senior

8+ years of experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering, with strong production operations ownership.
Strong hands-on experience with cloud platforms, microservices, CI/CD, containers, automation, and infrastructure design.
Strong experience with Docker, Kubernetes, Linux administration, Git workflows, and system administration fundamentals.
Hands-on development experience in Python and at least one additional language such as Node.js or Java.
Experience with MLOps concepts such as model packaging, artifact management, deployment pipelines, inference operations, and rollback strategies.
Experience operating AI or data platforms such as Databricks, MLflow, Airflow, or similar enterprise ML tooling.
Strong understanding of observability, logging, alerting, and performance monitoring for distributed systems and AI workloads.
Experience with secrets management, access control, and auditability in enterprise environments.
Working knowledge of Apigee X or similar enterprise API gateway platforms.

Preferred qualifications

Experience with AI gateway architecture, model catalogs, agent platforms, or MCP hosting patterns.
Experience with vector databases, graph databases, feature stores, and RAG pipeline operations.
Experience with AKS or other managed Kubernetes services, managed identities, Key Vault, TLS, SSO, and enterprise platform runbooks.
Experience working in Agile delivery models with strong cross-functional communication and a bias for action.

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Senior AI Platform Ops Engineer

Preferred qualifications

Related mandates

Specialist - Teleperformance

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